Rebecca Gosling

NIHR Clinical Lecturer

University of Sheffield
Country flagUnited Kingdom

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About

Rebecca Gosling is an NIHR Clinical Lecturer at the University of Sheffield, UK. Her research interests include virtual physiological analysis, coronary hemodynamics, and the impact of computational fluid dynamics on cardiovascular conditions. Recent articles by Dr. Gosling explore topics such as the evaluation of coronary artery flow models and the determinants of trans-prosthetic gradients in aortic valve replacement.

Articles (16)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Background and objectives: Evaluating left ventricular filling pressure (LVFP) plays a crucial role in diagnosing and managing heart failure (HF). While traditional assessment methods involve multi-parametric transthoracic echocardiography (TTE) or right heart catheterisation (RHC), cardiovascular magnetic resonance (CMR) has emerged as a valuable diagnostic tool in HF. This study aimed to assess a simple CMR-derived model to estimate pulmonary capillary wedge pressure (PCWP) in a cohort of patients with suspected or proven heart failure and to investigate its performance in risk-stratifying patients. Materials and methods: A total of 835 patients with breathlessness were evaluated using RHC and CMR and split into derivation (85%) and validation cohorts (15%). Uni-variate and multi-variate linear regression analyses were used to derive a model for PCWP estimation using CMR. The model’s performance was evaluated by comparing CMR-derived PCWP with PCWP obtained from RHC. Results: A CMR-derived PCWP incorporating left ventricular mass and the left atrial area (LAA) demonstrated good diagnostic accuracy. The model correctly reclassified 66% of participants whose TTE was ‘indeterminate’ or ‘incorrect’ in identifying raised filling pressures. On survival analysis, the CMR-derived PCWP model was predictive for mortality (HR 1.15, 95% CI 1.04–1.28, p = 0.005), which was not the case for PCWP obtained using RHC or TTE. Conclusions: The simplified CMR-derived PCWP model provides an accurate and practical tool for estimating PCWP in patients with suspected or proven heart failure. Its predictive value for mortality suggests the ability to play a valuable adjunctive role in echocardiography, especially in cases with unclear echocardiographic assessment.

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (10)

Yuanlin Gu

Lecturer in Computer Science

University of Roehampton

UNITED KINGDOM
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Gareth Matthews

University of East Anglia

UNITED KINGDOM
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Julian Gunn

Professor of Interventional Cardiology

University of Sheffield

UNITED KINGDOM
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Robert Storey

University of Sheffield

UNITED KINGDOM
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Eylem Levelt

University of Leeds Faculty of Biological Sciences

UNITED KINGDOM
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Ciaran Grafton-Clarke

University of East Anglia

UNITED KINGDOM
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Hosamadin S Assadi

University of East Anglia

UNITED KINGDOM
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Peter P Swoboda

University of Leeds

UNITED KINGDOM
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Paul Morris

Wellcome Fellow, Senior Clinical Lecturer and Hon Consultant Cardiologist

University of Sheffield

UNITED KINGDOM
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Pankaj Garg

-

UNITED KINGDOM
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